MIMO-OFDM for LTE, WiFi and WiMAX

Dr Lajos Hanzo, School of Electronics and Computer Science, University of SouthamptonLajos is Professor of Wireless multimedia communications in the School of Electronics and Computer Science. He has over 30 years experience in communications and has held various academic posts in Hungary, Germany and the UK. He has been a member of the academic staff at Southampton University since 1986 where he currently holds the Chair in Telecommunications. Professor Hanzo has published 12 titles with Wiley/IEEE and has published about 700 research papers. Dr Yosef (Jos) Akhtman, School of Electronics and Computer Science, University of SouthamptonJos Akhtman is currently working as a Senior Research Assistant in the Communications Group, ECS. His major subject of interest is optimization algorithms for advanced multi-antenna multi-carrier communication systems. Specifically, iterative channel estimation, detection, space-time processing and turbo transceiver architecture. From 2000 to 2002 he was working as a Research Engineer in VYYO Ltd., Jerusalem, Israel and has co-authored numerous journal articles and book chapters.Dr Ming Jiang Advanced Technology, Standards and Regulation (ATSR) of Samsung Electronics Research Institute (SERI), UKSince April 2006, Dr. Jiang has been with Advanced Technology, Standards and Regulation (ATSR) of Samsung Electronics Research Institute (SERI), working on the European FP6 WINNER project as well as on internal projects related to advanced wireless communication systems. From 2002 to 2005, he was involved in the Core 3 research project of the Mobile Virtual Centre of Excellence (VCE), UK on air-interface algorithms designed for MIMO OFDM systems. His research interests include multi-user detection, channel estimation, space-time processing, heuristic and adaptive optimization, frequency-hopping and MIMO OFDM and OFDMA systems. Dr. Jiang has co-authored one IEEE Press book chapter and several IEE/IEEE journal and conference papers.

"This book provides a comprehensive and up-to-date portrayal of wireless transmission based on OFDM techniques augmented with Space-Time Block Codes (STBCs) and Spatial-Division Multiple Access (SDMA) . . . the book also includes an extensive bibliography, as well as both subject and author indexes. (Annotation ©2011 Book News Inc. Portland, OR)." (Booknews, 1 April 2011) "The book systematically converts the lessons of Shannon's information theory into design principles applicable to practical wireless systems; the depth of discussions increases towards the end of the book.". (4G Wireless Evolution , 26 January 2011)

• About the Authors xixOther Wiley–IEEE Press Books on Related Topics xxiPreface xxiiiAcknowledgments xxviiList of Symbols xxix1 Introduction to OFDM and MIMO-OFDM 11.1 OFDM History 11.2 OFDM Schematic 91.3 Channel Estimation for Multi-carrier Systems 121.4 Channel Estimation for MIMO-OFDM 151.5 Signal Detection in MIMO-OFDM Systems 161.6 Iterative Signal Processing for SDM-OFDM 211.7 System Model 221.8 SDM-OFDM System Model 291.9 Novel Aspects and Outline of the Book 331.10 Chapter Summary 362 OFDM Standards 372.1 Wi-Fi 372.2 3GPP LTE 382.3 WiMAX Evolution 392.4 Chapter Summary 59Part I Coherently Detected SDMA-OFDM Systems 613 Channel Coding Assisted STBC-OFDM Systems 633.1 Introduction 633.2 Space–Time Block Codes 633.3 Channel-Coded STBCs 753.4 Channel Coding Aided STBC-OFDM 953.5 Chapter Summary 1064 Coded Modulation Assisted Multi-user SDMA-OFDM Using Frequency-Domain Spreading 1094.1 Introduction 1094.2 System Model 1104.3 Simulation Results 1134.4 Chapter Summary 1355 Hybrid Multi-user Detection for SDMA-OFDM Systems 1395.1 Introduction 1395.2 GA-Assisted MUD 1405.3 Enhanced GA-based MUD 1485.4 Chapter Summary 1686 Direct-Sequence Spreading and Slow Subcarrier-Hopping Aided Multi-user SDMA-OFDM Systems 1716.1 Conventional SDMA-OFDM Systems 1716.2 Introduction to Hybrid SDMA-OFDM 1726.3 Subband Hopping Versus Subcarrier Hopping 1736.4 System Architecture 1756.5 Simulation Results 1886.6 Complexity Issues 1966.7 Conclusions 1976.8 Chapter Summary 1977 Channel Estimation for OFDM and MC-CDMA 2017.1 Pilot-Assisted Channel Estimation 2017.2 Decision-Directed Channel Estimation 2027.3 A Posteriori FD-CTF Estimation 2037.4 A Posteriori CIR Estimation 2067.5 Parametric FS-CIR Estimation 2167.6 Time-Domain A Priori CIR Tap Prediction 2237.7 PASTD-Aided DDCE 2307.8 Channel Estimation for MIMO-OFDM 2337.9 Chapter Summary 2458 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems 2478.1 Introduction 2478.2 System Overview 2498.3 GA-Assisted Iterative Joint Channel Estimation and MUD 2508.4 Simulation Results 2598.5 Conclusions 2688.6 Chapter Summary 268Part II Coherent versus Non-coherent and Cooperative OFDM Systems 271List of Symbols in Part II 2739 Reduced-Complexity Sphere Detection for Uncoded SDMA-OFDM Systems 2759.1 Introduction 2759.2 Principle of SD 2789.3 Complexity-Reduction Schemes for SD 2899.4 Comparison of the Depth-First, K-Best and OHRSA Detectors 3019.5 Chapter Conclusions 30310 Reduced-Complexity Iterative Sphere Detection for Channel-Coded SDMA-OFDM Systems 30710.1 Introduction 30710.2 Channel-Coded Iterative Centre-Shifting SD 31110.3 A Priori LLR-Threshold-Assisted Low-Complexity SD 33410.4 URC-Aided Three-Stage Iterative Receiver Employing SD 34310.5 Chapter Conclusions 35311 Sphere-Packing Modulated STBC-OFDM and its Sphere Detection 35711.1 Introduction 35711.2 Orthogonal Transmit Diversity Design with SP Modulation 36011.3 Sphere Detection Design for SP Modulation 36911.4 Chapter Conclusions 37612 Multiple-Symbol Differential Sphere Detection for Differentially Modulated Cooperative OFDM Systems 37912.1 Introduction 37912.2 Principle of Single-Path MSDSD 38512.3 Multi-path MSDSD Design for Cooperative Communication 39012.4 Chapter Conclusions 41613 Resource Allocation for the Differentially Modulated Cooperation-Aided Cellular Uplink in Fast Rayleigh Fading Channels 41913.1 Introduction 41913.2 Performance Analysis of the Cooperation-Aided UL 42113.3 CUS for the Uplink 43213.4 Joint CPS and CUS for the Differential Cooperative Cellular UL Using APC 44913.5 Chapter Conclusions 45614 The Near-Capacity Differentially Modulated Cooperative Cellular Uplink 45914.1 Introduction 45914.2 Channel Capacity of Non-coherent Detectors 46314.3 SISO MSDSD 46514.4 Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink 47214.5 Chapter Conclusions 487Part III Coherent SDM-OFDM Systems 491List of Symbols in Part III 49315 Multi-stream Detection for SDM-OFDM Systems 49515.1 SDM/V-BLAST OFDM Architecture 49515.2 Linear Detection Methods 49615.3 Nonlinear SDM Detection Methods 50115.4 Performance Enhancement Using Space–Frequency Interleaving 50915.5 Performance Comparison and Discussion 51115.6 Conclusions 51216 Approximate Log-MAP SDM-OFDM Multi-stream Detection 51516.1 OHRSA-Aided SDM Detection 51517 Iterative Channel Estimation and Multi-stream Detection for SDM-OFDM 54917.1 Iterative Signal Processing 54917.2 Turbo Forward Error-Correction Coding 55017.3 Iterative Detection–Decoding 55217.4 Iterative Channel Estimation–Detection and Decoding 55417.5 Chapter Summary 56018 Summary, Conclusions and Future Research 56318.1 Summary of Results 56318.2 Suggestions for Future Research 587A Appendix to Chapter 5 597A.1 A Brief Introduction to Genetic Algorithms 597A.2 Normalization of the Mutation-Induced Transition Probability 601Glossary 603Bibliography 611Subject Index 641Author Index 647